GPU Programming with C++ and CUDA : Uncover effective techniques for writing efficient GPU-parallel C++ applications
Learn to solve parallel problems with GPU-accelerated C++ code and create reusable libraries that can be accessed from other programming languages. Key Features: Harness the power of GPU parallelism to accelerate real-world tasks; Utilize CUDA streams and scale performance with custom C++ solutions;...
Guardat en:
| Autor principal: | Motta, Paulo |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Birmingham :
Packt Publishing
2025.
Paris : Cyberlibris |
| Accés en línia: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9781805128823.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • GPU Programming with C++ and CUDA, Uncover effective techniques for writing efficient GPU-parallel C++ applications, Paulo Motta, Birmingham, Packt Publishing, 2025, 1 vol. (270 p.), 978-18-0512-454-2 |
Ítems similars
-
CUDA par l'exemple : [une introduction à la programmation parallèle de GPU]
(Livre papier)
Sanders, Jason, et al.
Pearson, 2011 -
GPU-based interactive visualization techniques
(Livre papier)
Weiskopf, Daniel
Springer, 2007 -
GPU-Based Interactive Visualization Techniques
(Livre numérique)
Weiskopf, Daniel -
Struggles and Resilience in GPU miniaturisation
(Article ou chapitre numérique)
Khalatbari, Cyrus
RESET, 2025 -
GPU-Accelerated Gravitational Lensing and Dynamical (
(Article ou chapitre numérique)
Han Wang, et al.
EDP Sciences, 2025

